344
Data {data-navmenu=“Pages”}
=======================================================================
---
#sets global options for document
title: "Advanced Dashboarding"
output:
flexdashboard::flex_dashboard:
orientation: row
vertical_layout: fill
social: ["menu"]
source_code: embed
theme:
version: 4
bootswatch: sandstone
---
```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)
data("penguins")
```
Plots {data-navmenu="Pages"}
=======================================================================
Sidebar {.sidebar}
-----------------------------------------------------------------------
### Penguin Stats In a Header
The number of penguins in the data is `r nrow(penguins)`
Row
-----------------------------------------------------------------------
### Number of Penguins in Another Header
```{r}
valueBox(nrow(penguins), icon = "fa-linux")
```
### Average Body Mass
```{r}
avg_mass=round(mean(penguins$body_mass_g,na.rm = T),1)
gauge(avg_mass,
min=0,
max=max(penguins$body_mass_g,na.rm=T),
gaugeSectors(success=c(4000,6300),
warning = c(2000,3999),
danger = c(0,1999)))
```
Column {.tabset}
-----------------------------------------------------------------------
### Scatterplot of bill length versus depth
```{r}
a = penguins %>% ggplot(aes(x=bill_length_mm,y=bill_depth_mm,color=species))+
geom_point()
ggplotly(a)
```
### Chart B
```{r}
penguins %>% ggplot(aes(x=body_mass_g,y=sex,fill=sex))+
geom_boxplot()
```
### Chart C
```{r}
penguins %>% ggplot(aes(x=flipper_length_mm,fill=species))+
geom_histogram()+
facet_wrap(~species)
```
Data {data-navmenu="Pages"}
=======================================================================
```{r}
penguins %>% datatable(extensions = "Buttons",
options = list(dom="Blfrtip",
buttons=c("copy","csv","excel","pdf","print")))
```